With R Applications / [electronic resource] Feigelson, Eric D. creator author. Babu, G. Jogesh author. text enk 2012 monographic eng

electronic

1 online resource (490 pages) : digital, PDF file(s). Modern astronomical research is beset with a vast range of statistical challenges, ranging from reducing data from megadatasets to characterizing an amazing variety of variable celestial objects or testing astrophysical theory. Linking astronomy to the world of modern statistics, this volume is a unique resource, introducing astronomers to advanced statistics through ready-to-use code in the public domain R statistical software environment. The book presents fundamental results of probability theory and statistical inference, before exploring several fields of applied statistics, such as data smoothing, regression, multivariate analysis and classification, treatment of nondetections, time series analysis, and spatial point processes. It applies the methods discussed to contemporary astronomical research datasets using the R statistical software, making it invaluable for graduate students and researchers facing complex data analysis tasks. A link to the author's website for this book can be found at www.cambridge.org/msma. Material available on their website includes datasets, R code and errata. Eric D. Feigelson, G. Jogesh Babu. Title from publisher's bibliographic system (viewed on 09 Oct 2015). Statistical astronomy QB149 .F45 2012 520.72/7 9781139015653 (ebook) http://dx.doi.org/10.1017/CBO9781139015653 http://dx.doi.org/10.1017/CBO9781139015653 UkCbUP 110214 20180107143414.0 CR9781139015653